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feat(altair): implement area-mountain-panorama (#5370)
## Implementation: `area-mountain-panorama` - python/altair Implements the **python/altair** version of `area-mountain-panorama`. **File:** `plots/area-mountain-panorama/implementations/python/altair.py` **Parent Issue:** #5365 --- :robot: *[impl-generate workflow](https://github.com/MarkusNeusinger/anyplot/actions/runs/24919026131)* --------- Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com> Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
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‎plots/area-mountain-panorama/implementations/python/altair.py‎

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""" anyplot.ai
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area-mountain-panorama: Mountain Panorama Profile with Labeled Peaks
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Library: altair 6.1.0 | Python 3.14.4
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Quality: 93/100 | Created: 2026-04-25
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"""
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import importlib
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import os
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import sys
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# Drop script directory from sys.path so the `altair` package resolves, not this file
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sys.path[:] = [p for p in sys.path if os.path.abspath(p or ".") != os.path.dirname(os.path.abspath(__file__))]
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alt = importlib.import_module("altair")
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np = importlib.import_module("numpy")
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pd = importlib.import_module("pandas")
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# Theme tokens (chrome flips with theme; data colors stay constant)
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THEME = os.getenv("ANYPLOT_THEME", "light")
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PAGE_BG = "#FAF8F1" if THEME == "light" else "#1A1A17"
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ELEVATED_BG = "#FFFDF6" if THEME == "light" else "#242420"
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INK = "#1A1A17" if THEME == "light" else "#F0EFE8"
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INK_SOFT = "#4A4A44" if THEME == "light" else "#B8B7B0"
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INK_MUTED = "#6B6A63" if THEME == "light" else "#A8A79F"
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BRAND = "#009E73" # Okabe-Ito position 1 — silhouette fill (single data series)
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# Theme-adaptive dusk sky gradient (chrome layer above the ridgeline; spec-authorized)
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SKY_HORIZON = "#FFC58A" if THEME == "light" else "#5A3422" # warm dusk glow at ridgeline
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SKY_MID = "#D89AA8" if THEME == "light" else "#2E1F35" # twilight rose / deep plum
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SKY_ZENITH = "#5C5078" if THEME == "light" else "#0C0E1A" # evening blue / night sky
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# Data — Wallis (Valais, CH) panorama: 16 4000-m summits along a 180° sweep
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peaks = pd.DataFrame(
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[
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("Weisshorn", 4506, 9),
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("Zinalrothorn", 4221, 20),
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("Ober Gabelhorn", 4063, 30),
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("Dent Blanche", 4358, 42),
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("Matterhorn", 4478, 56),
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("Breithorn", 4164, 73),
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("Pollux", 4092, 81),
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("Castor", 4223, 88),
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("Liskamm", 4527, 97),
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("Monte Rosa", 4634, 109),
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("Strahlhorn", 4190, 122),
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("Rimpfischhorn", 4199, 132),
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("Allalinhorn", 4027, 140),
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("Alphubel", 4206, 148),
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("Täschhorn", 4491, 158),
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("Dom", 4545, 168),
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],
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columns=["name", "elevation_m", "angle_deg"],
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)
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# Skyline ridge — gaussians around named peaks plus naturalistic minor ridge texture
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np.random.seed(42)
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angles = np.linspace(-2, 182, 1500)
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ridge_elev = 2950 + 110 * np.sin(angles * 0.11) + 35 * np.sin(angles * 0.43 + 1.1)
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for _ in range(55):
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pos = np.random.uniform(-2, 182)
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height = np.random.uniform(150, 480)
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width = np.random.uniform(1.4, 3.0)
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ridge_elev = np.maximum(ridge_elev, 2950 + height * np.exp(-((angles - pos) ** 2) / (2 * width**2)))
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for _, row in peaks.iterrows():
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height = row["elevation_m"] - 2950
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width = 2.0 + (row["elevation_m"] - 4000) * 0.0007
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ridge_elev = np.maximum(ridge_elev, 2950 + height * np.exp(-((angles - row["angle_deg"]) ** 2) / (2 * width**2)))
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ridge = pd.DataFrame({"angle_deg": angles, "elevation_m": ridge_elev})
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# Stagger label heights so adjacent peaks don't collide; Matterhorn lifted as focal summit
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peaks = peaks.sort_values("angle_deg").reset_index(drop=True)
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LABEL_HIGH = 5800
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LABEL_LOW = 5400
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peaks["label_y"] = [LABEL_HIGH if i % 2 == 0 else LABEL_LOW for i in range(len(peaks))]
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peaks.loc[peaks["name"] == "Matterhorn", "label_y"] = 6000
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peaks["elev_label"] = peaks["elevation_m"].apply(lambda v: f"{v:.0f} m")
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matterhorn = peaks[peaks["name"] == "Matterhorn"]
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others = peaks[peaks["name"] != "Matterhorn"]
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# Shared scales / axis so all layers register on the same coordinate system
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X_SCALE = alt.Scale(domain=[0, 180])
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Y_SCALE = alt.Scale(domain=[2900, 6300])
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Y_AXIS = alt.Axis(values=[3000, 3500, 4000, 4500, 5000])
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# Sky — dusk vertical gradient covering the full plot area; silhouette will mask the lower half
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sky_df = pd.DataFrame({"x_min": [0], "x_max": [180], "y_min": [2900], "y_max": [6300]})
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sky = (
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alt.Chart(sky_df)
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.mark_rect(
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color={
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"x1": 0,
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"y1": 0,
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"x2": 0,
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"y2": 1,
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"gradient": "linear",
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"stops": [
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{"offset": 0.0, "color": SKY_ZENITH},
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{"offset": 0.55, "color": SKY_MID},
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{"offset": 1.0, "color": SKY_HORIZON},
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],
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}
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)
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.encode(
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x=alt.X("x_min:Q", scale=X_SCALE, axis=None),
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x2="x_max:Q",
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y=alt.Y("y_min:Q", scale=Y_SCALE, title="Elevation (m)", axis=Y_AXIS),
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y2="y_max:Q",
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)
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)
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# Silhouette — brand-green photo-like fill; ridge stroke gives the snow-edge alpenglow line
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silhouette = (
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alt.Chart(ridge)
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.mark_area(color=BRAND, line={"color": BRAND, "strokeWidth": 2.5}, opacity=1.0)
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.encode(x="angle_deg:Q", y="elevation_m:Q")
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)
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# Leader lines from summit up to label position (with tooltip for HTML hover)
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leaders = (
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alt.Chart(others)
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.mark_rule(strokeWidth=1.0, opacity=0.55, color=INK_SOFT)
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.encode(
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x="angle_deg:Q",
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y="elevation_m:Q",
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y2="label_y:Q",
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tooltip=[alt.Tooltip("name:N", title="Peak"), alt.Tooltip("elevation_m:Q", title="Elevation (m)", format=",d")],
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)
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)
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matterhorn_leader = (
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alt.Chart(matterhorn)
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.mark_rule(strokeWidth=2.0, opacity=0.9, color=INK)
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.encode(
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x="angle_deg:Q",
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y="elevation_m:Q",
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y2="label_y:Q",
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tooltip=[alt.Tooltip("name:N", title="Peak"), alt.Tooltip("elevation_m:Q", title="Elevation (m)", format=",d")],
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)
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)
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# Two-line peak labels at recommended sizes (name 18, elevation 15 — meets tick-floor)
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name_labels = (
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alt.Chart(others)
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.mark_text(align="center", baseline="bottom", fontSize=18, fontWeight="bold", color=INK, dy=-26)
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.encode(
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x="angle_deg:Q",
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y="label_y:Q",
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text="name:N",
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tooltip=[alt.Tooltip("name:N", title="Peak"), alt.Tooltip("elevation_m:Q", title="Elevation (m)", format=",d")],
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)
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)
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elev_labels = (
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alt.Chart(others)
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.mark_text(align="center", baseline="bottom", fontSize=15, color=INK_SOFT, dy=-8)
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.encode(
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x="angle_deg:Q",
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y="label_y:Q",
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text="elev_label:N",
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tooltip=[alt.Tooltip("name:N", title="Peak"), alt.Tooltip("elevation_m:Q", title="Elevation (m)", format=",d")],
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)
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)
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# Matterhorn focal accent: notably larger label so the anchor summit reads as the composition's focus
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matterhorn_name = (
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alt.Chart(matterhorn)
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.mark_text(align="center", baseline="bottom", fontSize=26, fontWeight="bold", color=INK, dy=-30)
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.encode(
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x="angle_deg:Q",
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y="label_y:Q",
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text="name:N",
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tooltip=[alt.Tooltip("name:N", title="Peak"), alt.Tooltip("elevation_m:Q", title="Elevation (m)", format=",d")],
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)
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)
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matterhorn_elev = (
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alt.Chart(matterhorn)
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.mark_text(align="center", baseline="bottom", fontSize=18, fontWeight="bold", color=INK_SOFT, dy=-8)
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.encode(
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x="angle_deg:Q",
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y="label_y:Q",
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text="elev_label:N",
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tooltip=[alt.Tooltip("name:N", title="Peak"), alt.Tooltip("elevation_m:Q", title="Elevation (m)", format=",d")],
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)
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)
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chart = (
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(sky + silhouette + leaders + matterhorn_leader + name_labels + elev_labels + matterhorn_name + matterhorn_elev)
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.properties(
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width=1600,
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height=900,
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title=alt.Title(
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"Wallis Panorama · area-mountain-panorama · altair · anyplot.ai",
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subtitle="Sixteen 4000-m summits along a 180° horizontal sweep, Valais Alps",
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subtitleColor=INK_SOFT,
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subtitleFontSize=18,
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fontSize=28,
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anchor="start",
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offset=18,
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color=INK,
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),
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background=PAGE_BG,
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)
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.configure_view(fill=PAGE_BG, stroke=None)
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.configure_axis(
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domainColor=INK_SOFT,
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tickColor=INK_SOFT,
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gridColor=INK,
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gridOpacity=0.0,
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labelColor=INK_SOFT,
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titleColor=INK,
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labelFontSize=18,
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titleFontSize=22,
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tickSize=8,
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)
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)
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chart.save(f"plot-{THEME}.png", scale_factor=3.0)
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chart.save(f"plot-{THEME}.html")

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